Credit: pyimagesearch // TODO
Bring your images together in a folder (exp: DATADIR) and add an input-config.yml file in the same folder if you want to change the defautl confidence value (20%). The file should contain this line: confidence: <value> and the value should be between 0.0 and 1.0.
In the app/app-config.yml file, change the datadir parameter to the path of your folder (DATADIR for our example) and run the script.
$ git clone https://github.com/Zied-Guesmi/object-detector.git && cd object-detector/
$ sed -i "s/\/iexec/<path/to/datadir/folder>/" app/app-config.yml
$ python3 app/src/app.py
The DATADIR/out/ folder contains the output images where the bounding boxes have been added to surround objects. It contains also a json file describing for each image the detected objects (name, confidence).
jpeg, bmp, png
Those extensions are accepted but were not tested yet: pbm, pgm, ppm, tiff, rast, xbm
After installing docker and preparing your DATADIR folder, just grab the docker image from dockerhub and run it:
$ docker run -v abs/path/to/datadir:/iexec/ ziedguesmi/object-detector
Or you can build your own image from dockerfile:
# clone the dapp
$ git clone https://github.com/Zied-Guesmi/object-detector.git && cd object-detector/
# build the docker image
$ docker build -t object-detector .
# run the container
$ docker run -v abs/path/to/datadir:/iexec/ object-detector
Install system dependencies:
# ubuntu as an example
$ apt-get update && apt-get install -y \
libtesseract-dev \
libsm6 \
python3 \
python3-pip
Clone the app:
$ git clone https://github.com/Zied-Guesmi/object-detector.git
Install python depedencies:
$ cd object-detector/
$ pip3 install -r app/requirements.txt
This project is licensed under the MIT License - see the LICENSE file for details